Utilizing local brick-and-mortar stores for same-day order fulfillment is becoming prominent in omni-channel retailing. Efficient in-store picking critical to providing timely value-added delivery services. Despite numerous studies on traditional logistics warehouses and distribution centers, there scant research focusing with the multi-skilled workforce retail stores. We studied integrated Ord...

Projects became part of the daily business in many functional areas, across industries and services. Despite variety project execution implementation different domains it is visible that projects are sharing fundamental similiarities. Based on experiment success a exuecution depends - next to maintained data quality follow-up ability schedule activities an optimized way. Scheduling even more co...

In this paper, we present part of a study on stochastic, dynamic project scheduling in an R&D Department of a leading home appliances company in Turkey. The problem under consideration is the preemptive resource constrained multi-project scheduling problem with generalized precedence relations in a stochastic and dynamic environment. The model consists of three phases. Phase I of the model prov...

extensive research has been devoted to resource constrained project scheduling problem. however, little attention has been paid to problems where a certain time penalty must be incurred if activity preemption is allowed. in this paper, we consider the project scheduling problem of minimizing the total cost subject to resource constraints, earliness-tardiness penalties and preemption penalties, ...

In this paper, a novel mathematical model for a preemption multi-mode multi-objective resource-constrained project scheduling problem with distinct due dates and positive and negative cash flows is presented. Although optimization of bi-objective problems with due dates is an essential feature of real projects, little effort has been made in studying the P-MMRCPSP while due dates are included i...

In practice, organizations work in general on more than one project which share some or all the available resources. In this work hybrid heuristics that combine Random Sampling heuristics and Backward-Forward methods are developed for the Resource-Constrained Multi-Project Scheduling Problem (RCMPSP). This heuristic approach has been successfully applied to resource-constrained single project s...